AgenticInvestor

Suriname Consumer Price Index

Suriname · Monthly series · EC-SR-CPI

Latest, September 2026

979.7 pts

+0.1% from August 2026

Open interactive chartSuriname Consumer Price Index in the app

1110609.9110.1August 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 1,027.8 pts, with an 80% interval of 944.5 pts to 1,109.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026986.5 pts980.9 pts993.2 pts
November 2026990.4 pts982.6 pts999.3 pts
December 2026993.8 pts973.7 pts1,017.8 pts
January 2027997.9 pts967.3 pts1,032.6 pts
February 20271,002.2 pts961.3 pts1,049.6 pts
March 20271,006.6 pts983.1 pts1,031.5 pts
April 20271,009.8 pts981.0 pts1,041.4 pts
May 20271,013.4 pts972.0 pts1,057.3 pts
June 20271,017.5 pts969.8 pts1,065.5 pts
July 20271,021.0 pts962.8 pts1,081.7 pts
August 20271,024.3 pts955.6 pts1,095.8 pts
September 20271,027.8 pts944.5 pts1,109.7 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Limited evidence

At least 6 complete tests are required; 5 are available.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aToo few tests (5 tests, 6 needed) (5 tests, 5 won)
Direction
n/aToo few tests (5 tests, 6 needed) (60 of 60 calls right in 5 tests)
Turning points
n/aToo few tests (5 tests, 6 needed) (0 turns in 5 tests, 5 without a turn)
Error vs baseline
47% lowerError ratio 0.53; 1.00 is a tie.
Tests won
5 / 5Complete rolling backtests; ties count as no win.
Test period
2021-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
82%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

That is the highest of the 118 readings since October 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
September 2026979.7 pts
August 2026978.6 pts
July 2026976.2 pts
June 2026971.2 pts
May 2026960.0 pts
April 2026947.4 pts
March 2026940.0 pts
February 2026935.9 pts
January 2026934.4 pts
December 2025931.4 pts
November 2025927.8 pts
October 2025920.8 pts
September 2025913.1 pts
August 2025905.9 pts
July 2025896.6 pts
June 2025879.3 pts
May 2025861.7 pts
April 2025854.4 pts
March 2025848.4 pts
February 2025844.6 pts
January 2025841.4 pts
December 2024836.1 pts
November 2024831.6 pts
October 2024829.9 pts

Source

Data: public market data feeds.

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